We’re a multi-channel, multi-brand business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms. All of this equals over 1.2 billion transactions each year, presenting a volume, depth, and complexity of data that few can match.

We don’t think we’re exaggerating when we say we have the most exciting data set in the country. And from the insights gained, we build scalable, high-performance products using cutting-edge technology that give our customers an amazing shopping experience

There are thousands of experts to talk to and learn from. Things get built here. They get made here. They hit customers and colleagues quickly. Welcome to the home of Sainsbury's Tech.

About the role:

• You will leverage the power of data to provide actionable insight which will help reduce loss or risk to the business.
• Your work will have a direct impact on the P&L in terms of reducing loss and increasing profit.
• On a day to day basis you will work hand in hand with the Business Protection team.
• You will be reporting to our centralised Analytics Team, which means you will benefit from a lot of expertise and peer to peer training.

In this role you will:

• Discover opportunities to reduce risk or loss using data and deliver it in a compelling manner.
• Deliver insights to Loss Managers to support them while they are out in the field. Highlighting areas of concern and opportunity.
• Help quantify the successes & failures of trials & initiatives
• Collaborate with the wider Analytics Team and Data Teams to work with best practice and help define data needs.
• Lead the design of Experiments (A/B Tests), ensuring they are run in a scientifically valid way
• Analyse Experiments and provide actionable insights and recommendations back to the Business Protection and Product Teams

What we are looking for:

• Must have a good level of experience of SQL, any of the following MySQL, PL/SQL TSQL, Snowflake etc.
• Experience in R and/or Python is preferred
• Some experience in statistical analysis on trial validation 
• Good experience and understanding of experimental testing (A/B Testing) and the science behind it
• Ability to communicate complex findings to key stakeholders in a simple way
• Curious and proactive
• Ability to influence stakeholders
• Positive attitude with ability to embrace change and deal with ambiguity
• Knowledge or strong interest in retail loss and risk

In return you will get:

• Colleague discount across the multi-brands – Sainsbury’s, Argos and Habitat
• Holiday allowance
• Bonus scheme
• Pension plan
• Special offers on gym memberships, restaurants, holidays, retail vouchers and more

Flexible working and job share conversations are encouraged. Across our multi-brands, we’re proud to be an equal opportunities employer that champions a diverse and inclusive culture. If you’re reading this, even if you’re not 100% sure you’re there with your experience, we’d still love to hear from you. If you’d like to find out more head to Sainsbury's Tech.